jesus-333 / Dynamic-PyTorch-NetLinks
Class to automatic create Convolutional Neural Network in PyTorch
☆15Updated 4 years ago
Alternatives and similar repositories for Dynamic-PyTorch-Net
Users that are interested in Dynamic-PyTorch-Net are comparing it to the libraries listed below
Sorting:
- Code for extracting DE (differential entropy) and PSD (power spectral density) feature of signals.☆83Updated 5 years ago
- ECE-GY 9123 Project: GCN-Explain-Net: An Explainable Graph Convolutional Neural Network (GCN) for EEG-based Motor Imagery Classification …☆52Updated 4 years ago
- This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition☆82Updated 3 years ago
- The repository contains trials that apply model transformer to the emotion recognition (classification) task based on electroencephalogra…☆57Updated 3 years ago
- Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch☆116Updated 2 years ago
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition☆72Updated last year
- Classification of BCI competition VI dataset 2a using ANN by applying WPD and CSP for feature extraction☆90Updated 3 years ago
- ☆34Updated last year
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆142Updated 2 years ago
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆98Updated 2 years ago
- Seeking to recreate the work demonstrated in A Multi-Branch 3D Convolutional Neural Network for EEG-Based Motor Imagery Classification by…☆18Updated 4 years ago
- Domain Adaptation for EEG Emotion Recognition Based on Latent Representation Similarity☆43Updated 5 years ago
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆79Updated last month
- Source code for the paper: Sun, Biao, et al. "Graph Convolution Neural Network based End-to-end Channel Selection and Classification for …☆22Updated 2 years ago
- Code Implementation of paper: Transformers for EEG-Based Emotion Recognition: A Hierarchical Spatial Information Learning Model☆38Updated 4 months ago
- Official repository of EEG-Inception, a general-purpose and powerful deep convolutional neural network for EEG procesing☆48Updated 2 years ago
- SST-EmotionNet: Spatial-Spectral-Temporal based Attention 3D Dense Network for EEG Emotion Recognition☆138Updated 4 years ago
- Pytorch implementation of EEGNet.☆49Updated 3 years ago
- A list of papers for motor imagery using machine learning/deep learning.☆84Updated 4 years ago
- ☆86Updated 4 years ago
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆97Updated 2 years ago
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆41Updated 2 years ago
- Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores☆54Updated 4 years ago
- code for LMDA☆85Updated 2 years ago
- IEEE Transactions on Emerging Topics in Computational Intelligence☆70Updated 7 months ago
- ☆15Updated 4 years ago
- ☆13Updated 3 years ago
- ☆11Updated 3 years ago
- ☆13Updated 2 years ago
- Implementation of graph convolutional networks based on PyTorch Geometric to classify EEG signals.☆56Updated 4 years ago